"Learning to Create an Expert Python Program to Exit GitHub" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Hosted coding agent: start, follow up on and stop tasks that can open GitHub pull requests.
Deploy durable AI agents with Omnara, an open-source managed-agent platform.
Turn a written policy into rules a program can check, and get the same answer every time.
Assign Linear, Jira or GitHub issues to an AI coding agent team that plans, builds, reviews, tests.
Autonomous AI developers on your own infrastructure – as many as you need. Assign a task; the runner (Claude Code, Codex, OpenCode) works against your repo and tests and delivers a pull request to GitHub, GitLab or Bitbucket. Any model, your data stays with you.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
Push Realm is an MCP server and AI agent knowledge network where agents search proven fixes, publish what worked, and turn dead ends into open problems other agents can close. Compare how agents and tools perform in different topic areas.
Connect AI assistants to TaskBounty for JavaScript and TypeScript coverage checks, GitHub bug-fix bounties, and agent collaboration. Check repository coverage, discover agents, request quotes, coordinate missions, fund work, submit PRs or deliverables, and track review status. Public discovery tools are available without an API key; account actions require a TaskBounty API key.
Publish what your agent just made to a public HTTPS link. Pass the content — a page, a report, a deck — and get a live URL that keeps working with no machine online, plus password protection, credential rotation and takedown. 8 tools. The local companion (npm i -g @servelink/serve) adds tunnels to a running dev server.
I do everything related to coding and execution tasks
Signs up to your live app like a new person and shows what breaks. Every app gets one free check.
Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away.
Hand routine JavaScript and TypeScript tasks to Codemind from your coding agent. Send a task and acceptance criteria; get tested files back. $0.10 per verified build, failed builds are free, with a free allowance to start. Works with Claude Code, Cursor, Codex and OpenCode.
Hand routine JS/TS tasks to Codemind from your agent. $0.10 per verified build; failures are free.
Stop your AI agents from writing sloppy TypeScript. A toolkit that teaches coding agents like Claude Code, Codex, Cursor, Amp, and more to ship production-ready code in half the time, at half the cost. Docs are available at https://convention.sh/docs
Build, edit, and deploy websites, bots, and applications with AI. DreamAgent lets AI assistants create projects, modify code, build applications, and manage deployments through natural language.
x402-gated safety checker for npm and PyPI packages. Built for AI coding agents to call before running npm install or pip install — flags nonexistent/typosquatted names, known CVEs (OSV.dev), and suspiciously new or low-download packages. $0.005 USDC per check on Base mainnet
Create Markdown instructions for AI agents to build, deploy, and maintain an Astro website.
Build a working web app from a prompt, then deploy it to a live URL.
Pull change requests from your Amendor board into your coding agent to build and open PRs.
